Literature DB >> 25286788

Surgical outcome prediction in patients with advanced ovarian cancer using computed tomography scans and intraoperative findings.

Ha-Jeong Kim1, Chel Hun Choi2, Yoo-Young Lee2, Tae-Joong Kim2, Jeong-Won Lee2, Duk-Soo Bae2, Byoung-Gie Kim3.   

Abstract

OBJECTIVE: This study aimed to identify features on preoperative computed tomography (CT) scans that are predictive of suboptimal primary cytoreduction and to evaluate the correlation between CT findings and intraoperative findings in advanced ovarian cancer.
MATERIALS AND METHODS: We retrospectively reviewed preoperative CT scans and operative findings from patients with stage III/IV epithelial ovarian cancer who underwent primary cytoreduction between 2003 and 2006. Fourteen criteria were assessed. Clinical data were extracted from medical records. Residual tumors measuring ≥1 cm were considered suboptimal.
RESULTS: We retrospectively identified 118 patients who met the study inclusion criteria. The rate of optimal cytoreduction (≤1 cm residual disease) was 40%. On preoperative CT scans, omental extension to the stomach or spleen and inguinal or pelvic lymph nodes >2 cm were predictors of suboptimal cytoreduction on univariate (p = 0.016 and p = 0.028, respectively) and multivariate analysis (p = 0.042 and p = 0.029, respectively). Involvement of both omental extension and inguinal or pelvic lymph nodes had a positive predictive value (PPV) of 100%, a specificity of 100%, and an accuracy of 45.8% in predicting suboptimal cytoreduction. We correlated the preoperative CT findings with the intraoperative findings. There were significant correlations between CT and intraoperative findings of omental extension (p = 0.007), inguinal or pelvic lymph nodes >2 cm (p < 0.001), and large bowel mesentery implants >2 cm (p = 0.001).
CONCLUSION: The combination of omental extension to the stomach or spleen and involvement of inguinal or pelvic lymph nodes in preoperative CT scans is considered predictive of suboptimal cytoreduction. These patients may be more appropriately treated with neoadjuvant chemotherapy followed by surgical cytoreduction.
Copyright © 2014. Published by Elsevier B.V.

Entities:  

Keywords:  advanced ovarian cancer; computed tomographic scan; prediction of optimal cytoreduction

Mesh:

Year:  2014        PMID: 25286788     DOI: 10.1016/j.tjog.2013.10.041

Source DB:  PubMed          Journal:  Taiwan J Obstet Gynecol        ISSN: 1028-4559            Impact factor:   1.705


  7 in total

1.  The Influence of "Omental Cake" Presence on the Completeness of Cytoreduction in Advanced-stage Ovarian Cancer.

Authors:  Nicolae Bacalbasa; Camelia Diaconu; Laura Iliescu; Cornel Savu; Ovidiu Gabriel Bratu; Ciprian Bolca; Dragos Cretoiu; Alexandru Filipescu; Simona Dima; Cristian Balalau; Irina Balescu
Journal:  In Vivo       Date:  2020 Jul-Aug       Impact factor: 2.155

2.  A novel index for preoperative, non-invasive prediction of macro-radical primary surgery in patients with stage IIIC-IV ovarian cancer-a part of the Danish prospective pelvic mass study.

Authors:  Mona Aarenstrup Karlsen; Carsten Fagö-Olsen; Estrid Høgdall; Tine Henrichsen Schnack; Ib Jarle Christensen; Lotte Nedergaard; Lene Lundvall; Magnus Christian Lydolph; Svend Aage Engelholm; Claus Høgdall
Journal:  Tumour Biol       Date:  2016-07-20

3.  Predictive significance of preoperative CT findings for suboptimal cytoreduction in advanced ovarian cancer: a meta-analysis.

Authors:  Ting Wen Yi Hu; Dan Nie; Jin Hai Gou; Zheng Yu Li
Journal:  Cancer Manag Res       Date:  2018-07-16       Impact factor: 3.989

4.  A Prediction Model for Optimal Primary Debulking Surgery Based on Preoperative Computed Tomography Scans and Clinical Factors in Patients With Advanced Ovarian Cancer: A Multicenter Retrospective Cohort Study.

Authors:  Yu Gu; Meng Qin; Ying Jin; Jing Zuo; Ning Li; Ce Bian; Yu Zhang; Rong Li; Yu-Mei Wu; Chun-Yan Wang; Ke-Qiang Zhang; Ying Yue; Ling-Ying Wu; Ling-Ya Pan
Journal:  Front Oncol       Date:  2021-01-07       Impact factor: 6.244

Review 5.  Emerging Trends in Neoadjuvant Chemotherapy for Ovarian Cancer.

Authors:  Ami Patel; Puja Iyer; Shinya Matsuzaki; Koji Matsuo; Anil K Sood; Nicole D Fleming
Journal:  Cancers (Basel)       Date:  2021-02-05       Impact factor: 6.639

6.  Preoperative Predictors of Optimal Tumor Resectability in Patients With Epithelial Ovarian Cancer.

Authors:  Kehinde S Okunade; Adaiah P Soibi-Harry; Benedetto Osunwusi; Ephraim Ohazurike; Sarah O John-Olabode; Adeyemi Okunowo; Garba Rimi; Omolola Salako; Muisi Adenekan; Rose Anorlu
Journal:  Cureus       Date:  2022-01-19

Review 7.  ESGO/ISUOG/IOTA/ESGE Consensus Statement on pre-operative diagnosis of ovarian tumors.

Authors:  Dirk Timmerman; François Planchamp; Tom Bourne; Chiara Landolfo; Andreas du Bois; Luis Chiva; David Cibula; Nicole Concin; Daniela Fischerova; Wouter Froyman; Guillermo Gallardo Madueño; Birthe Lemley; Annika Loft; Liliana Mereu; Philippe Morice; Denis Querleu; Antonia Carla Testa; Ignace Vergote; Vincent Vandecaveye; Giovanni Scambia; Christina Fotopoulou
Journal:  Int J Gynecol Cancer       Date:  2021-06-10       Impact factor: 3.437

  7 in total

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